National Taiwan University
機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
National Taiwan University

機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

Taught in Chinese (Traditional)

16,564 already enrolled

Course

Gain insight into a topic and learn the fundamentals

林軒田

Instructor: 林軒田

4.9

(318 reviews)

Intermediate level
Some related experience required
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

2 quizzes

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There are 8 modules in this course

weight vector for linear hypotheses and squared error instantly calculated by analytic solution

What's included

4 videos4 readings

gradient descent on cross-entropy error to get good logistic hypothesis

What's included

4 videos

binary classification via (logistic) regression; multiclass classification via OVA/OVO decomposition

What's included

4 videos

nonlinear model via nonlinear feature transform+linear model with price of model complexity

What's included

4 videos1 quiz

overfitting happens with excessive power, stochastic/deterministic noise and limited data

What's included

4 videos

minimize augmented error, where the added regularizer effectively limits model complexity

What's included

4 videos

(crossly) reserve validation data to simulate testing procedure for model selection

What's included

4 videos

be aware of model complexity, data goodness and your professionalism

What's included

4 videos1 quiz

Instructor

Instructor ratings
4.9 (21 ratings)
林軒田
National Taiwan University
3 Courses53,208 learners

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Recommended if you're interested in Machine Learning

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Learner reviews

Showing 3 of 318

4.9

318 reviews

  • 5 stars

    94.02%

  • 4 stars

    4.71%

  • 3 stars

    0.62%

  • 2 stars

    0.31%

  • 1 star

    0.31%

CL
5

Reviewed on Apr 17, 2018

DA
4

Reviewed on May 2, 2020

GG
5

Reviewed on Aug 12, 2020

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